Research on Detection Method of Arc Droop on Stall Side of High-Voltage Direct Current Transmission Lines with Assistance of Airborne LiDAR
The detection accuracy is low due to the lack of transmission line modeling when performing arc droop detection on stall side of high-voltage direct current transmission lines.In this regard,an airborne lightlaser detection and ranging(LiDAR) system-assisted high-voltage direct current transmission line stall side arc droop detection method is proposed.Firstly,outlier filtering is performed on the point cloud data of high-voltage direct current transmission lines acquired by airborne LiDAR.Secondly,the filtered line point cloud data is extracted by elevation threshold and grid height difference to establish the high-voltage direct current transmission line model.Then,through the high-voltage direct current transmission line model,the allowable stresses and specific loads corresponding to the line under different working conditions are calculated by considering the loading conditions under different working conditions,to determine the effective critical distance.Finally,based on the calculated stress results,the stall side arc droop curve is simulated on the high-voltage transmission line model.The simulated stall side arc droop curve is compared with the actual observed arc droop data to realize arc droop detection.The test results show that the proposed method under different working conditions to expand the arc droop detection error is controlled in the average value of 0.02 or less.This method is practical.
Airborne lightlaser detection and ranging(LiDAR) systemHigh-voltage direct current transmission linePoint cloud filteringEffective critical stall distanceArc droop detection
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